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Most AI pilots don’t stall because of modeling. They stall because production deployment is hard. Turning industrial data into contextual knowledge requires more than dashboards and pipelines — it requires architecture designed for security, scalability, and long-term maintenance. This webinar focuses on what that deployment actually looks like using MCP, Node-RED, and FlowFuse — including a live build connecting FlowFuse Expert to an MCP system in about an hour. MCP (Model Context Protocol) offers a powerful way to deploy industrial applications that convert data into contextual knowledge. But leveraging it effectively requires the right platform — one that supports security, ease of use, and long-term maintainability. Links: FlowFuse's Free 14 Day Trial (https://flowfuse.com/) The Road to ProveIt! Playlist ( • The Road to ProveIt! 2026 ) MCP Tools Flow (https://github.com/KristopherLeads/Fl...) Integrations Options Flow (https://github.com/KristopherLeads/Fl...) Kristopher Sandoval ( / @kristopherleads ) #industrialautomation #flowfuse #nodered